Model Prediction of Particulate Dispersion from a Cement Mill Stack: Case Study of a Cement Plant In Nigeria

Abstract

This research work was necessitated as a result of high pollution rate of particulate matters within and outside cement plants in Nigeria. The study plans to applied Gaussian predictive model to quantify the concentration of particulate dispersion from a cement mill stack and to identify a safety distance for human settlement and activities. The meteorological concentrations of particulate matter have been measured using the SKC deployable particulate sampler both in the plant and far away from the cement mill stack. Concentration of Particulate matter was computed using the formulated Gaussian plume model that incorporates meteorological and source related factors to estimate particulates' concentration downwind from a cement mill stack. The simulated results are in agreement with the experimental results at an average value of 92% within a Gaussian distance of 200 – 2,000m. The simulated results of this work shows that the concentrations in the ambient air at a distance of about 1.5 – 4.5km from the stack is higher than the World Health Organisation standard annual average value of 260µg/m 3 and 2.0 – 4.0km from the stack was also higher than the Nigerian Federal Ministry of Environmental standard annual average value of 500µg/m 3 . Due to other fugitive emissions from cement plants, a simulated safety distance beyond 7.0km from the plant is recommended for human settlement and activities.